AI Article Synopsis
- Fractional vegetation cover (FVC) is an important measure for assessing grassland degradation and desertification, but traditional analysis methods are often inconvenient and inaccurate.
- Innovative image-based analysis techniques have potential but are complicated and require training, prompting the study to use a combination of ImageJ and Photoshop for FVC analysis.
- The results showed this combined method is reliable and precise, yielding FVC values with a very low error rate, making it a more effective alternative to traditional methods.
Article Abstract
Fractional vegetation cover (FVC) is a crucial indicator to estimate degradation and desertification for grasslands. However, traditional small-scale FVC analysis methods, such as visual estimation and point-sampling, are cumbersome and imprecise. Innovative methods like image-based FVC analysis methods, while accurate, face challenges such as complex analytical procedures and the necessary training for operations. Therefore, in this study, a combined application of ImageJ and Photoshop was employed to achieve a more effective analysis of FVC values in desertification areas. Our results showed that the FVC results obtained by combination of Photoshop and ImageJ were dependable and precise (R > 0.98), demonstrating equivalency to results obtained through either visual estimation or Photoshop-based methods. Furthermore, even in the face of background interference and varied shooting angles, the combination of ImageJ and Photoshop software was still able to maintain a low error rate when analyzing FVC values (average error rate = - 2.6%). In conclusion, the imaged-based combined FVC analysis method employed in our research was an effective, precise, and efficient technique for analyzing small-scale FVC, promising substantial improvement over conventional methods.
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| http://dx.doi.org/10.1007/s10661-024-12479-4 | DOI Listing |
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